Automatic Generation of Metadata for Learning Objects
Master thesis

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Date
2011Metadata
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- Institutt for design [1019]
Abstract
With the advent of a large number of educational resources in electronic forms, as well as
the pervasiveness of online learning management systems, which uses these resources,
a number of problems related to search and reuse of existing materials arise. For many
years metadata is a good mechanism for describing the electronic resources. Metadata is
data about data, information about information, and description of content which allows
having the opportunity to find the necessary information, access it in an acceptable form.
The aim of this thesis is the analysis of automatic generation input for increasing the
level of discovery and reusability of learning object. We have examined what contribution
to the production of metadata for learning objects the curriculum information stored
in the form of course syllabus and analysis of the harvestable metadata will provide. The
syllabus field’s analysis helped us to identify patterns in the structure of syllabus and determine
the rules which the information will be extracted from.We studied and discussed
what elements of metadata can be harvested and utilized for a detailed description of the
learning object in addition to the information extracted from the course syllabus. As a
result, we have learned to what extent the automatic generation of metadata for learning
object using proposed resources can be utilized as a supplement to the manual input.